Virtuelle Leerstandsbespielung – “Pop-Up Zwischennutzung” mittels Augmented Reality

Seit Jahrhunderten ist die europäische Stadt im Wandel. Für Stadtquartiere und Bauwerke müssen immer wieder neue Nutzungen gefunden werden. Neue Technologien, Wirtschaftsformen oder kulturelle Vorlieben lösen einen Strukturwandel aus, der dazu führt, dass Gebäude ihre eigentliche Nutzung verlieren und leer stehen (Langenbrick et al. 2012:8). Leerstände von Geschäfts- und Wohnräumen waren schon immer ein Problem innerhalb des Stadtgefüges. Aufgrund knapper Ressourcen als auch regionaler Disparitäten rücken sie zunehmend in das Blickfeld der räumlichen Planung. Wichtig ist es, Zukunftsperspektiven für den jeweiligen Standort zu erkennen und von Anfang an in die Planungen und Maßnahmen mit einfließen zu lassen. In diesem Kontext können Augmented Reality Technologien als Kommunikations- und Informationstools in der Leerstandsbewältigung eingesetzt werden. Augmented Reality spielt digitale Informationen auf eine reale Umwelt, so dass Smartpones mit den realen Objekten in Kommunikation treten können. Zukünftige Ladenkonzepte können so in einer Art augmentiertem Pop-Up-Store schon zum Zeitpunkt der Konzeption sichtbar gemacht werden. Mobile Partizipation mittels Augmented Reality kann als zusätzliches Informationstool dazu beitragen, ein Projekt der Bevölkerung zu kommunizieren. Die Begeisterung für die Technik soll Ideen in die Köpfe der Menschen „pflanzen“. Augmented Reality bietet einen niedrigschwelligen Zugang zum Thema Leerstand, mit Spaß, kreativen, witzigen und spielerischen Ideen. Das vorliegende Paper erörtert die Methode der virtuellen Leerstandsbespielung und demonstriert anhand eines praktischen Beispiels, wie diese in der Realität umsetzbar ist. Ziel des umgesetzten Projektes war es, neben der Visualisierung zukünftiger Potenziale das Thema “Bespielung von Leerständen” in einer spielerischen Art so zu vermitteln, dass eine reale Umsetzung angeregt wird

Urban Emotions and Cycling Experience – Enriching Traffic Planning for Cyclists with Human Sensor Data

Even though much research has been conducted on the safety of cycling infrastructures, most previous approaches only make use of traditional and proven methods based upon datasets such as accident statistics, road infrastructure data, or questionnaires. Apart from typical surveys, which are known to face numerous limitations from a psychological and sociological viewpoints, the question of how perceived safety can best be assessed is still widely unexplored. Thus, this paper presents an approach for bio-physiological sensing to identify places in urban environments which are perceived as unsafe by cyclists. Specifically, a number of physiological parameters like ECG, skin conductance, skin temperature and heart rate variability are analysed to identify moments of stress. Together with data gathered through a People as Sensors app, these stress levels can be mapped to specific emotions. This method was tested in a pilot study in Cambridge, MA (USA), which is presented in this paper. Our findings show that our method can identify places with emotional peaks, particularly fear and anger. Although our results can be qualitatively interpreted and used in urban planning, more research is necessary to quantitatively and automatically generate recommendations from the measurements for urban planners

Emotion Sensing for (E-) Bicycle Safety and Mobility Comfort

The “Emotion Sensing for (E-)Bicycle Safety and Mobility Comfort” approach, in short, “ESSEM”, funded by the mFUND program of the Federal Ministry of Digital Affairs and Transport (BMDV), investigates the subjective safety perception of cyclists in urban traffic. Identifying Moments of Stress in the bicycle network in Ludwigsburg and Osnabrück is done by collecting biophysiological data using sensor technologies and surveys. Besides developing a practical tool for evaluating bicycle infrastructures with emotion-sensing data, bicycle components are designed and assessed within the project

Urban Emotions – Tools of Integrating People’s Perception into Urban Planning

This paper introduces the research field “Urban Emotions” – an interdisciplinary approach combining not only spatial planning and (geo-) informatics, but also computer linguistics and sensor technology methods. A new set of methods will be formed for the area of urban and spatial planning, resulting in a fundamental change of the understanding of planning. One of the main objectives is the involvement of citizens into planning processes. Therefore, new techniques are developed to collect and analyse data on the emotional perception of space and provide it to the people and also planners. Not only the human perception in the context of the city, and the combination with human sensory processes are contents of this paper, but also the critical discussion of these effects to privacy issues. Based on the topics “mental maps” and psychogeography in combination with the field of digital emotional urban tagging, the potential of integrating objectively quantified emotions in the context of citizen participation will be explained. In the following, partly established and partly experimental methods for collecting and analysing “Urban Emotions” will be introduced. Based on two studies, the possibilities of transfering these methodsinto the planning praxis will be shown on the one hand and on the other hand the potential for further development for other disciplines will be more evident

Walk & Feel – a New Integrated Walkability Research ApproachWalk & Feel – a New Integrated Walkability Research Approach

Walking is healthy, promotes social contacts and is a basic requirement of mobility. Nevertheless, between 1995 and 2013/14 the modal share of walking in Austria declined from 27% to 17%. However, walking is abig unknown factor in the overall transport system, as it is statistically often unrecorded. This also expresses an underestimation of the importance and positive effects of walking in the overall transport system. The term “walkability” is often used to describe the attractiveness of walking which not only includes the path quality but also attractive and animating conditions to walk. The project presented in this paper aims to develop a methodology, which should improve the conditions for pedestrians on their daily walks and increase the quality of life. A major requirement for this purpose is a comprehensive and high-quality data basis for assessing the quality of walking – leading to more insights into the needs of pedestrians. Biosensoric technology to gather physiologic data about people’s reaction concerning walking infrastructure will support this new approach. The approach will join subjective and objective methods to create a new view about perception and emotions of pedestrians. By this means it will evaluate spatial conditions like street design, built environment, perceived safety to achieve “walkability” or a more walkable infrastructure. This contribution introduces the topic, presents the state of research concerning walkability as well as a concept of a theoretical framework of the project. This includes a methodology to collect, analyse andvisualise the collected data, and further describes technologies for sensor-based measurement of perceptions and emotions while walking. Finally, the paper gives a first glance to the web-based platform, where different data sources are combined and visualised for various user groups and purposes

Value of diffusion weighted MR imaging as an early surrogate parameter for evaluation of tumor response to high-dose-rate brachytherapy of colorectal liver metastases

<p>Abstract</p> <p>Background</p> <p>To assess the value of diffusion weighted imaging (DWI) as an early surrogate parameter for treatment response of colorectal liver metastases to image-guided single-fraction ¹⁹²Ir-high-dose-rate brachytherapy (HDR-BT).</p> <p>Methods</p> <p>Thirty patients with a total of 43 metastases underwent CT- or MRI-guided HDR-BT. In 13 of these patients a total of 15 additional lesions were identified, which were not treated at the initial session and served for comparison. Magnetic resonance imaging (MRI) including breathhold echoplanar DWI sequences was performed prior to therapy (baseline MRI), 2 days after HDR-BT (early MRI) as well as after 3 months (follow-up MRI). Tumor volume (TV) and intratumoral apparent diffusion coefficient (ADC) were measured independently by two radiologists. Statistical analysis was performed using univariate comparison, ANOVA and paired t test as well as Pearson's correlation.</p> <p>Results</p> <p>At early MRI no changes of TV and ADC were found for non-treated colorectal liver metastases. In contrast, mean TV of liver lesions treated with HDR-BT increased by 8.8% (<it>p </it>= 0.054) while mean tumor ADC decreased significantly by 11.4% (<it>p </it>< 0.001). At follow-up MRI mean TV of non-treated metastases increased by 50.8% (<it>p </it>= 0.027) without significant change of mean ADC values. In contrast, mean TV of treated lesions decreased by 47.0% (<it>p </it>= 0.026) while the mean ADC increased inversely by 28.6% compared to baseline values (<it>p </it>< 0.001; Pearson's correlation coefficient of r = -0.257; p < 0.001).</p> <p>Conclusions</p> <p>DWI is a promising imaging biomarker for early prediction of tumor response in patients with colorectal liver metastases treated with HDR-BT, yet the optimal interval between therapy and early follow-up needs to be elucidated.</p

Emotion Sensing für (E-)Fahrradsicherheit und Mobilitätskomfort – das BMDV-Projekt ESSEM

Das Fahrrad nimmt in der Diskussion um postfossile Mobilitätsformen eine wichtige Schlüsselrolle ein und kann vor allem im Stadtverkehr eine bedeutsame Alternative zum motorisierten Individualverkehr darstellen. Fahrradfahren ist nicht nur umweltfreundlich, klimaschonend und kostengünstig, sondern auch förderlich für die persönliche Gesundheit. In der Realität legt sich dies im Modal Split vieler Städte immer noch nicht nieder. Vielfach wird der Umstieg auf das Fahrrad hin zur flächendeckenden Nutzung durch ein mangelndes Sicherheitsempfinden von Radfahrenden verhindert. Das im mFUND-Programm des Bundesministerium für Digitales und Verkehr (BMDV) geförderte Verbundprojekt Emotion Sensing für (E-)Fahrradsicherheit und Mobilitätskomfort, kurz „ESSEM“, untersucht aus diesem Anlass heraus das subjektive Sicherheitsempfinden von Radfahrenden im Stadtverkehr. Mithilfe iterativer Erhebungen von umfeld- und körpernahen Daten mittels Sensoriktechnologien werden in den beiden Modellstädten Ludwigsburg und Osnabrück Stresspunkte im kommunalen Radverkehrsnetz identifiziert und analysiert. Die gewonnenen Erkenntnisse sollen dabei helfen, Methoden und Handlungsempfehlungen für eine moderne, datengestützte Radverkehrsplanung zu entwickeln und die Fahrradinfrastruktur zukünftig angenehmer und sicherer gestalten zu können. Perspektivisch sollen innerhalb der dreijährigen Projektlaufzeit gemeinsam mit Industriepartnerinnen und Industriepartnern neben einem praxistauglichen Tool zum Bewerten von Fahrradinfrastrukturen mit Emotion-Sensing-Daten noch weitere Fahrradkomponenten (u.a. digitaler Rückspiegel) in der Produktentwicklung hervorgebracht werden. In einer ersten Messkampagne wird in Kooperation mit dem Partner Bike Citizens ein partizipativer Ansatz verfolgt. Die Ansprache für die Akquise von Probandinnen und Probanden erfolgt in der bestehenden, aktiven Bike Citizens Fahrrad-Community. Die gleichnamige App zeichnet auf, welche Routen die rund 350 Probandinnen und Probanden in den beiden Modellstädten für ihre alltäglichen Fahrten nutzen, oder welche sie sogar erkennbar meiden. Diese ersten Erkenntnisse bilden die Grundlage für die ab Sommer 2022 durchgeführten, mehrphasigen EmoCycling-Messungen, bei denen die messbare physiologische Stressreaktion der Probandinnen und Probanden lokal verortet und kartiert wird. Die Messungen werden im Projekt ergänzt durch standardisierte Fragebögen, welche im Zuge der Auswertung Aufschluss über persönliche Einflussfaktoren auf das Stressempfinden, wie zum Beispiel Alter, Geschlecht oder psychologische Merkmale geben. Die gewonnenen Erkenntnisse sollen dazu beitragen, mehr Wissen über die unterschiedlichen Typen an Radfahrenden für die Planung zu generieren

Urban Emotions and Cycling Experience – enriching traffic planning for cyclists with human sensor data. GI_Forum|GI_Forum 2016, Volume 1 – open:spatial:interfaces|

Even though much research has been conducted on the safety of cycling infrastructures, most previous approaches only make use of traditional and proven methods based upon datasets such as accident statistics, road infrastructure data, or questionnaires. Apart from typical surveys, which are known to face numerous limitations from a psychological and sociological viewpoints, the question of how perceived safety can best be assessed is still widely unexplored. Thus, this paper presents an approach for bio-physiological sensing to identify places in urban environments which are perceived as unsafe by cyclists. Specifically, a number of physiological parameters like ECG, skin conductance, skin temperature and heart rate variability are analysed to identify moments of stress. Together with data gathered through a People as Sensors app, these stress levels can be mapped to specific emotions. This method was tested in a pilot study in Cambridge, MA (USA), which is presented in this paper. Our findings show that our method can identify places with emotional peaks, particularly fear and anger. Although our results can be qualitatively interpreted and used in urban planning, more research is necessary to quantitatively and automatically generate recommendations from the measurements for urban planners

Urban Emotions and Cycling Experience – enriching traffic planning for cyclists with human sensor data. GI_Forum|GI_Forum 2016, Volume 1 – open:spatial:interfaces|

Even though much research has been conducted on the safety of cycling infrastructures, most previous approaches only make use of traditional and proven methods based upon datasets such as accident statistics, road infrastructure data, or questionnaires. Apart from typical surveys, which are known to face numerous limitations from a psychological and sociological viewpoints, the question of how perceived safety can best be assessed is still widely unexplored. Thus, this paper presents an approach for bio-physiological sensing to identify places in urban environments which are perceived as unsafe by cyclists. Specifically, a number of physiological parameters like ECG, skin conductance, skin temperature and heart rate variability are analysed to identify moments of stress. Together with data gathered through a People as Sensors app, these stress levels can be mapped to specific emotions. This method was tested in a pilot study in Cambridge, MA (USA), which is presented in this paper. Our findings show that our method can identify places with emotional peaks, particularly fear and anger. Although our results can be qualitatively interpreted and used in urban planning, more research is necessary to quantitatively and automatically generate recommendations from the measurements for urban planners